Malgré l’effort fourni, le travail présenté dans cette thèse souffre de lacunes qui doivent être traitées. Pour chaque limitation, nous donnons des suggestions appropriées. Les principales limitations sont :
• Le profil du peer n’est pas assez riche. Dans notre contribution nous avons concentré notre effort sur le A-Box et T-Box de l’ontologie. Cependant, la gestion des rôles n’a pas bénéficie du même intérêt malgré son importance. Nous pensons qu’une amélioration possible dans ce sens, consiste à utiliser la logique de description SROIQ plus adaptée dans la gestion des rôles. Nous proposons qu’un travail futur sera consacré à la construction d’une ontologie encore plus riche en utilisant un processus qui supporte cette logique de description. Cela passe nécessairement par une étude approfondie du domaine du peer afin d’avoir la description la plus complète.
• L’approche de collaboration est difficile à réaliser dans tous les cas d’intégration. Dans notre cas, nous avons supposé que les peers communiquent entre eux et que le mécanisme de feedback est adopté par tous les peers. Cependant, ce n’est pas nécessairement le cas. Les peers n’ont pas l’obligation de formuler la requête de satisfaction et de faire ainsi le feedback. Pour cela, nous proposons d’investir cet axe afin d’inciter encore plus les utilisateurs à utiliser le feedback.
• Les paramètres de calcul de la confiance sont établis manuellement. Dans notre travail, nous avons supposé que c’est l’utilisateur qui établit les valeurs des paramètres, tels que, le taux d’apprentissage, les poids de satisfaction, les valeurs minimes de la confiance, la réputation et la satisfaction. Si cette possibilité
apporte une grande souplesse pour l’utilisateur, nous pensons qu’un mauvais choix des valeurs influe considérablement sur le comportement du service d’intégration, spécialement les traitements liés au calcul de la confiance. Afin de remédier à cette lacune, nous souhaitons qu’un travail futur s’intéresse à cet axe en proposant des techniques automatiques pour l’établissement des valeurs des paramètres.
• Notre approche ne supporte pas toutes les plateformes P2P existantes. En effet, notre service de navigation (Roaming Service) est limité à deux plateformes, à savoir, Gnutella par l’utilisation de LimeWire et P-Grid. Nous suggérons à ce que toutes les autres plateformes soientprise en charge dans le futur.
• La gestion du mapping est limitée. Dans notre approche, la mise à jour du mapping est liée principalement au peer choisi lors d’une interaction. Cela permet d’étendre le mapping local mais sans garantir la pertinence de mapping choisi, malgré le mécanisme de confiance utilisé. Afin de remédier à cela, nous proposons que les correspondances du mapping soient pondérées. Ainsi, on doit traiter plusieurs propositions dans le temps avant d’affirmer la pertinence d’une correspondance. Une solution possible consistera à utiliser la logique floue au sein du mapping.
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